Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr;30(4):676-681.
doi: 10.1158/1055-9965.EPI-20-1521.

The Impact of Longitudinal Surveillance on Tumor Thickness for Melanoma-Prone Families with and without Pathogenic Germline Variants of CDKN2A and CDK4

Affiliations

The Impact of Longitudinal Surveillance on Tumor Thickness for Melanoma-Prone Families with and without Pathogenic Germline Variants of CDKN2A and CDK4

Michael R Sargen et al. Cancer Epidemiol Biomarkers Prev. 2021 Apr.

Abstract

Background: Skin cancer screening is routinely performed for members of melanoma-prone families, but longitudinal studies evaluating the efficacy of surveillance in this high-risk population are lacking.

Methods: We evaluated thickness for first primary melanomas diagnosed in melanoma-prone families (≥2 individuals with melanoma) enrolled in NCT00040352 (NCI familial melanoma study) from 1976 through 2014; enrolled patients received routine skin cancer screening and education about skin self-exams. We used linear and ordinal logistic regression models adjusted for gender and age with a generalized estimating equations approach to report changes in thickness and tumor (T) stage over time, comparing outcomes for NCI cases diagnosed before (pre-study) versus after study participation (prospective) and for NCI cases versus nonfamilial cases [Surveillance, Epidemiology, and End Results (SEER) 9 registries].

Results: Tumor thickness was evaluated for 293 NCI (pre-study = 246; prospective = 47) patients. Compared with NCI pre-study cases, NCI prospective melanomas were thinner (0.6 vs. 1.1 mm; P < 0.001) and more likely to be T1 stage [39/47 (83%) vs. 98/246 (40%); P < 0.001]. Similar findings (P < 0.05) were observed for familial cases with and without germline CDKN2A and CDK4 mutations. Peters-Belson modeling suggested that calendar period effects of decreasing thickness in the general population (SEER 9) did not fully explain thickness trends in NCI families.

Conclusions: Participation in a longitudinal surveillance program providing skin cancer screening and education about skin self-exams was associated with thinner melanomas for members of melanoma-prone families.

Impact: The study findings support the clinical benefit of screening (physician and self) for this high-risk population.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: The authors declare no potential conflicts of interest.

Figures

Figure 1.
Figure 1.. Box plot of melanoma thickness for pre-study versus prospective familial melanoma cases by CDKN2A/CDK4 mutation status.
The above figure shows the interquartile range and median thickness for pre-study (129 CDKN2A/CDK4 mutation carriers; 99 individuals with no mutation identified by whole exome sequencing) versus prospective (31 CDKN2A/CDK4 mutation carriers; 15 individuals with no mutation identified by whole exome sequencing) familial melanoma cases by mutation status. P-values were calculated from generalized linear models that account for relatedness of family members.
Figure 2.
Figure 2.. Trends in tumor thickness for United States familial melanoma cases and general population.
The above figure shows changes in melanoma thickness over time for familial cases (National Cancer Institute [NCI] pre-study melanomas, NCI prospective melanomas) and the general population. Smoothed curves were produced for each group using the “lpoly” code in STATA 15 (College Station, Texas), which performs unadjusted kernel-weighted local polynomial regression. General population data was obtained from the Surveillance, Epidemiology, and End Results (SEER) 9 cancer registries. The per year fold change in tumor thickness is reported for each group using multivariable models adjusted for gender and age category (0–29, 30–49, 50–64, ≥65) (all cases in each group were from White patients).

Similar articles

Cited by

References

    1. United States Preventive Services Task Force, Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Ebell M, et al. Screening for Skin Cancer: US Preventive Services Task Force Recommendation Statement. JAMA 2016;316:429–35 - PubMed
    1. Soura E, Eliades PJ, Shannon K, Stratigos AJ, Tsao H. Hereditary melanoma: Update on syndromes and management: Emerging melanoma cancer complexes and genetic counseling. J Am Acad Dermatol 2016;74:411–20; quiz 21–2 - PMC - PubMed
    1. Soura E, Eliades PJ, Shannon K, Stratigos AJ, Tsao H. Hereditary melanoma: Update on syndromes and management: Genetics of familial atypical multiple mole melanoma syndrome. J Am Acad Dermatol 2016;74:395–407; quiz 8–10 - PMC - PubMed
    1. Goldstein AM, Chan M, Harland M, Gillanders EM, Hayward NK, Avril MF, et al. High-risk melanoma susceptibility genes and pancreatic cancer, neural system tumors, and uveal melanoma across GenoMEL. Cancer Res 2006;66:9818–28 - PubMed
    1. Leachman SA, Carucci J, Kohlmann W, Banks KC, Asgari MM, Bergman W, et al. Selection criteria for genetic assessment of patients with familial melanoma. J Am Acad Dermatol 2009;61:677 e1–14 - PMC - PubMed

Publication types

MeSH terms

Substances

Associated data